How is AI research done?

AI research is typically conducted through a combination of theoretical exploration, algorithm development, and empirical testing. Researchers often start by identifying a specific problem or question, then develop models and algorithms to address it, utilizing techniques such as machine learning, deep learning, or natural language processing. Experiments are conducted using datasets to evaluate the performance of the proposed solutions, and findings are documented and peer-reviewed. Collaboration across disciplines and sharing results in conferences and journals further advances the field.